Construction and fitting of artificial neural networks assisted by radial basis function models, as well as the validation dataset for errors

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Authors: Sunshaojun
Cited by: 0

Abstract

A type of artificial neural network model (ANN) enriched with RBF (Radial Basis Function), including the construction and fitting of the radial basis function model-assisted artificial neural network, as well as the error verification dataset, for the optimization of high-speed ships.

Fields of Study & Subjects

Neural Networks and Applications Machine Learning and ELM Ship Hydrodynamics and Maneuverability

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
17 February 2026
Language
EN
Document type
Dataset